References

  1. J. R. Abrial (1996): The B-Book: Assigning programs to meaning.. Cambridge University Press.
  2. J. R. Abrial (2009): Modeling in Event-B: system and software engineering. To appear. Cambridge University Press. Available at http://www.event-b.org.
  3. H. Aljazzar, M. Fischer, L. Grunske, M. Kuntz, F. Leitner & S. Leue (2009): Safety analysis of an airbag system using probabilistic FMEA and probabilistic counterexamples. In proceedings of QEST'09, pp. 299–308, doi:10.1109/QEST.2009.8.
  4. H. Aljazzar & S. Leue (2009): Generation of counterexamples for model checking of Markov Decision Processes. In proceedings of QEST'09, pp. 197–206, doi:10.1109/QEST.2009.10.
  5. M. E. Andr"7013es, P. D' Argenio & P. v Rossum (2009): Significant diagnostic counterexamples in probabilistic model checking. In proceedings of HVC'08. Lecture Notes in Computer Science 5394, pp. 129–148, doi:10.1007/978-3-642-01702-5_15.
  6. M. Butler (2009): Using Event-B refinement to verify a control strategy. Technical Report. University of Southampton, United Kingdom.
  7. D. Cansell, D. M"7012ery & J. Rehm (2006): Time constraint patterns for Event-B development. In proceedings of B'07. Lecture Notes in Computer Science 4355. Springer, pp. 140–154, doi:10.1007/11955757_13.
  8. Chemical Industries Association Limited, London (1987): CIA.: A guide to hazard and operability studies..
  9. Deploy. Available at http://www.deploy-project.eu/.
  10. L. Grunske, R. Colvin & K. Winter (2007): Probabilistic model checking support for FMEA. In proceedings of QEST'07, doi:10.1109/QEST.2007.18.
  11. M. Gudemann & F. Ortmeier (2010): Probabilistic model-based safety analysis. In proceedings of QAPL'10. EPTCS 28, pp. 114–128, doi:10.4204/EPTCS.28.8.
  12. T. Han, J.-P Katoen & B. Damman (2009): Counterexamples generation in probabilistic model checking. IEEE Transaction on software engineering 32(2), pp. 241–257, doi:10.1007/978-3-540-71209-1_8.
  13. H. Hansson & B. Jonsson (1994): A logic for reasoning about time and reliability. Formal Aspects of Computing 6(5), pp. 512–535, doi:10.1007/BF01211866.
  14. A. Hinton, M. Kwiatkowska, G. Norman & D. Parker (2006): PRISM: A tool for automatic verification of probabilistic systems. In proceedings of TACAS'06. Lecture Notes in Computer Science 3920. Springer, pp. 441–444, doi:10.1007/11691372_29.
  15. T. S. Hoang (2005): Developing a probabilistic B-Method and a supporting toolkit.. University of New South Wales, Australia.
  16. C. A. R. Hoare (1969): An axiomatic basis for computer programming. Communications of the ACM 12(10), pp. 576–580, doi:10.1145/357980.358001.
  17. J. Hurd (2002): Formal verification of probabilistic algorithms.. University of Cambridge, United Kingdom.
  18. Internatinal Electrotechnical Commission, Geneva (1985): IEC International Standard 812: ``Analysis techniques for system reliability: procedures for failure mode and effect analysis.
  19. Internatinal Electrotechnical Commission, Geneva (1990): International Standard IEC 1025: Fault Tree Analysis (FTA)..
  20. D.R. Karger (1993): Global min-cuts in RNC, and other ramifications of a simple min-out algorithm. In proceedings of fourth annual ACM-SIAM symposium on discrete algorithms. pp 21-30, Austin, Texas, United States.
  21. M. Kwiatkowska, G. Norman & D. Parker (2007): Controller dependability analysis by probabilistic model checking. Control Engineering Practice 15(11), pp. 1427–1434, doi:10.1016/j.conengprac.2006.07.003.
  22. A.K. McIver & C.C. Morgan (2004): Abstraction, refinement and proof for probabilistic systems. Monographs in Computer Science. Springer Verlag.
  23. U. Ndukwu (2009): Quantitative safety: linking proof-based verification with model checking for probabilistic systems. In proceedings of QFM'09. EPTCS 13, pp. 27–39, doi:10.4204/EPTCS.13.3.
  24. U. Ndukwu (2010): Generating counterexamples for quantitative safety specifications in probabilistic B. Accepted for inclusion in the journal of logic and algebraic programming.
  25. U. Ndukwu & A.K. McIver (2010): YAGA: Automated analysis of quantitative safety specifications in probabilistic B. In proceedings of ATVA'10. Lecture Notes in Computer Science 6252. Springer, pp. 378–386, doi:10.1007/978-3-642-15643-4_31.
  26. F. Ortmeier, W. Reif & G. Schellhorn (2006): Deductive cause-consequence analysis (DCCA). In proceedings of IFAC World Congress, Elsevier.
  27. M.L. Puterman (1994): Markov Decision Processes.. Wiley.

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